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A lot of semantic information is lost due to keyword centric approach of information indexing. Web search should be based on `context' of the query and not only on the keywords in query. It is only possible when a context from a query as well as document is sensed and which requires a context based indexing approach
One of the most serious problems that conventional knowledge management (KM) encompasses has been pointed out tardy and ineffective acquisition of knowledge. To resolve this problem, knowledge must be autonomously acquired according to its context of use by applying the technique of keyword extraction in machine
The aim of service discovery is to discover services based on preferences given by service consumers. Many approaches are using keyword based syntactic methods and recent approaches are using semantic Web technology to enhance service discovery. Traditional service discovery mechanism acts like a black box which
informative keywords not only from the textual content of the target vlog itself but also from external resources which are semantically and visually relevant to it. Sentiment evaluation obtained from comments. In vlog search we adopt saliency based matching to make the search results. We use different ranking strategies are
Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which
contextual information and keywords extracted from documents. For our experiments, we preprocessed hundreads of TASKs in the aircraft's maintenance manual and made several cases for context. Our experiments showed that our proposing system could provide information related with context.
. Simultaneously, it generates a personal context-aware dictionary dynamically from the keywords gotten via some APIs in the Internet. Currently, the information of user's context is also provided by NGN. In this paper, we explain the overview of our proposal and prototype implementation in Japanese.
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